Allele Frequencies in World Populations

HLA > Haplotype Frequency Search

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Displaying 1 to 75 (from 75) records   Pages: 1 of 1  

Line Haplotype Population Frequency (%) Sample Size Distribution¹
 1  A*02:01:01-B*15:01:01-C*03:03:01  England Blood Donors of Mixed Ethnicity 0.7602519
 2  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*01:03:01-DPB1*02:01:02  Russia Belgorod region 0.6536153
 3  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01  Nicaragua Mestizo (G) 0.6452155
 4  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:01:01  Brazil Rio de Janeiro Caucasian 0.5837521
 5  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Poland BMR 0.518823,595
 6  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Spain, Canary Islands, Gran canaria island 0.4700215
 7  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Russia Nizhny Novgorod, Russians 0.42171,510
 8  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*03:01-DQA1*05:01:01-DQB1*06:03:01-DPA1*02:01:02-DPB1*04:01:01  Russian Federation Vologda Region 0.4202119
 9  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQA1*01:03:01-DQB1*03:01-DPA1*01:03:01-DPB1*03:01  Russian Federation Vologda Region 0.4202119
 10  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:11:01-DQB1*03:02:01-DPA1*01:03:01-DPB1*04:02:01  Brazil Rio de Janeiro Caucasian 0.3891521
 11  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQA1*01:03:01-DQB1*06:03-DPA1*02:01:01-DPB1*14:01  Russia Belgorod region 0.3268153
 12  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*02:02:01-DPA1*01:03:01-DPB1*133:01  Brazil Barra Mansa Rio State Caucasian 0.3125405
 13  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*11:03-DQB1*06:01  Russia Bashkortostan, Tatars 0.2604192
 14  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*12:01-DQB1*03:01  Russia Bashkortostan, Tatars 0.2604192
 15  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:01:01-DQB1*06:03:01  Spain, Canary Islands, Gran canaria island 0.2300215
 16  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Russia Nizhny Novgorod, Russians 0.22971,510
 17  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02:01  Poland BMR 0.169623,595
 18  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.15881,510
 19  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*09:01:02-DQB1*03:03:02  China Zhejiang Han 0.09251,734
 20  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  China Zhejiang Han 0.08651,734
 21  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*08:03:02-DQB1*06:01:01  China Zhejiang Han 0.08051,734
 22  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*11:03-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.06721,510
 23  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*06:02:01  Poland BMR 0.048223,595
 24  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01:01  Poland BMR 0.041023,595
 25  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*02:02:01  Poland BMR 0.037423,595
 26  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*11:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03491,510
 27  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02  Russia Nizhny Novgorod, Russians 0.03491,510
 28  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:02:01-DQB1*03:02  Russia Nizhny Novgorod, Russians 0.03311,510
 29  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*13:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 30  A*02:01:01:01-B*15:01:01-C*03:03:01-DRB1*04:03:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.03311,510
 31  A*02:01:01-B*15:01:01:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 32  A*02:01:01-B*15:01:01:01-C*03:03:01-DRB1*14:04:01-DQB1*05:01  Russia Nizhny Novgorod, Russians 0.03311,510
 33  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*05:01:01  Poland BMR 0.030823,595
 34  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:05:01-DQB1*04:01:01  China Zhejiang Han 0.02881,734
 35  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*08:02:01-DQB1*04:02:01  China Zhejiang Han 0.02881,734
 36  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*14:05:01-DQB1*05:03:01  China Zhejiang Han 0.02881,734
 37  A*02:01:01:01-B*15:01:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01  Russia Nizhny Novgorod, Russians 0.02851,510
 38  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*03:02:01  Poland BMR 0.020323,595
 39  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*03:01:01  Poland BMR 0.019823,595
 40  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:03:02  Poland BMR 0.019523,595
 41  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQB1*03:01:01  Poland BMR 0.019223,595
 42  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*08:03:02-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01855,266
 43  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*16:01:01-DQB1*05:02:01  Poland BMR 0.015923,595
 44  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:04:01-DQB1*03:01:01  Poland BMR 0.013423,595
 45  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DPB1*02:01:02  Hong Kong Chinese HKBMDR HLA 11 loci 0.01225,266
 46  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*14:04:01-DQB1*05:01:01  Poland BMR 0.011723,595
 47  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*03:01:01-DQB1*02:01:01  Poland BMR 0.011623,595
 48  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*14:54:01-DQB1*05:03:01  Poland BMR 0.011623,595
 49  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*09:01:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.01125,266
 50  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*08:01:01-DQB1*04:02:01  Poland BMR 0.010623,595
 51  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*09:01:02-DPB1*13:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00955,266
 52  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*08:03:02-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00795,266
 53  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DPB1*02:02:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00725,266
 54  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*03:02:01  Poland BMR 0.006723,595
 55  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*05:01:01  Poland BMR 0.006423,595
 56  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*06:04:01  Poland BMR 0.006423,595
 57  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*03:01:01  Poland BMR 0.005323,595
 58  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*06:02:01  Poland BMR 0.005023,595
 59  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DPB1*05:01:01  Hong Kong Chinese HKBMDR HLA 11 loci 0.00505,266
 60  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*06:02:01  Poland BMR 0.004223,595
 61  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:08-DQB1*03:04:01  Poland BMR 0.003423,595
 62  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*02:01:01  Poland BMR 0.003323,595
 63  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:01:01-DQB1*06:03:01  Poland BMR 0.002723,595
 64  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQB1*06:02:01  Poland BMR 0.002523,595
 65  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:01:01-DQB1*06:03:01  Poland BMR 0.002223,595
 66  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*07:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 67  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*15:01:01-DQB1*05:01:01  Poland BMR 0.002123,595
 68  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*05:01:01  Poland BMR 0.002123,595
 69  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*01:01:01-DQB1*03:03:02  Poland BMR 0.002123,595
 70  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*04:04:01-DQB1*04:01:01  Poland BMR 0.002123,595
 71  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*11:03:01-DQB1*06:04:01  Poland BMR 0.002123,595
 72  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*13:02:01-DQB1*05:03:01  Poland BMR 0.002123,595
 73  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*14:07:01-DQB1*05:03:01  Poland BMR 0.002123,595
 74  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*03:01:01-DQB1*06:03:01  Poland BMR 0.002123,595
 75  A*02:01:01-B*15:01:01-C*03:03:01-DRB1*03:01:01-DQB1*03:01:01  Poland BMR 0.002123,595

Notes:

* Haplotype Frequencies: Total number of copies of the haplotype in the population sample (Haplotypes / 2n) shown in percentages (%).
   Important: This field has been expanded to two decimals to better represent frequencies of large datasets (e.g. where sample size > 1000 individuals)
¹ Distribution - Shows the geographic distribution in overlaid maps of the complete haplotype (left icon) or the input alleles if low level resolution was entered (right icon).




   

Allele frequency net database (AFND) 2020 update: gold-standard data classification, open access genotype data and new query tools
Gonzalez-Galarza FF, McCabe A, Santos EJ, Jones J, Takeshita LY, Ortega-Rivera ND, Del Cid-Pavon GM, Ramsbottom K, Ghattaoraya GS, Alfirevic A, Middleton D and Jones AR Nucleic Acid Research 2020, 48:D783-8.
Liverpool, U.K.

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